%0 Journal Article
%T Organization of Variation Based Personal Genetic Data with Relational Database
%A Onur £¿AKIRG£¿Z
%A S¨¹leyman SEV£¿N£¿
%J -
%D 2018
%X Relational databases are currently being used effectively in many hospitals and clinics to store patient records and assay results. With the rapid development of sequencing technologies, sequencing costs have declined considerably. In addition, the number of personalized medicine practices is increasing day by day, and accordingly the size of the personal genetic data that needs to be stored and questioned is also increasing. Although relational databases are appropriate for storing patient records and assay results, additional designs and solutions are needed to efficiently store personal genetic data. In this study, a novel solution is proposed for the integration of variation-based personal genetic data into relational database. Within the scope of this solution, formats for both non-structural and structural variation types have been developed and compression algorithms have been used. The proposed method was tested with real data of 2504 people, published by 1000 Genome Project. As a result of the analyzes made, it was seen that the proposed method requires much less space than the space required to store the raw sequence data
%K ili£¿kisel veritaban£¿
%K veri format£¿
%K genetik veri
%K varyasyon
%U http://dergipark.org.tr/gazibtd/issue/38691/417443